code: def exp_xgb_0():
      return CVExperiment(
          XGBClassifier,
          dict(subsample=0.01),
          model_extra_params=dict(fit=dict(verbose=False)),
      )
  
file_path: hyperparameter_hunter/tests/smoke_tests/test_xgboost.py
imports: from hyperparameter_hunter import Environment, CVExperiment, Real, Integer, Categorical
  from hyperparameter_hunter import RandomForestOptPro
  from hyperparameter_hunter.i_o.result_reader import has_experiment_result_file
  from hyperparameter_hunter.utils.learning_utils import get_toy_classification_data
  import pytest
  from xgboost import XGBClassifier
label_desc: Use image node_id 2 for calling a global function with example usage: exp_xgb_0() and returns: CVExperiment